A new nonlinear real-time filter based on Free Energy

cic.isFulltextSI
cic.isPeerReviewedSI
cic.lugarDesarrolloUniversidad Tecnológica Nacional
cic.parentTypeArtículo
cic.versionPublicada
dc.date.accessioned2026-03-02T17:36:43Z
dc.date.available2026-03-02T17:36:43Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/12656
dc.titleA new nonlinear real-time filter based on Free Energyen
dc.typeArtículo
dcterms.abstractThis study introduces a novel non-linear real-time filter based on the concept of Free Energy, applied to estimate the state of mobile robots in dynamic environments. Leveraging Bayesian inference principles, the proposed Free Energy Filter minimizes prediction errors between observed and estimated trajectories, incorporating the Fokker-Planck equation. Simulation results demonstrate effectiveness in improving control accuracy of unicycle robots equipped with the Bessel controller, with comparisons against traditional Kalman filtering highlighting advantages in noisy and uncertain conditions.en
dcterms.creator.authorRoteta Lannes, Juan Andrés
dcterms.creator.authorGarcia, Andres Gabriel
dcterms.creator.authorAgamennoni, Osvaldo Enrique
dcterms.extent459-470
dcterms.identifier.otherDOI: 10.37394/23203.2025.20.46
dcterms.identifier.otherISSN: 2224-2856
dcterms.identifier.urlhttps://doi.org/10.37394/23203.2025.20.46
dcterms.isPartOf.issueVol. 20, 2025, Art. 46, p. 459
dcterms.isPartOf.seriesWSEAS Transactions on Systems and Control
dcterms.issued2025-11-14
dcterms.languageInglés
dcterms.licenseAttribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0)
dcterms.relationvol. 20
dcterms.subjectFree Energyen
dcterms.subjectFokker-Plancken
dcterms.subjectStochasticen
dcterms.subjectKalman Filteren
dcterms.subjectNonlinear filteren
dcterms.subjectMobile robotsen
dcterms.subject.materiaIngeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información

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